The documentation for the JLinkGDBServer command line options is incomplete. Getting multiple debug sessions running using JLinkGDBServer is a trial/error/google and repeat process. Here are bare-bones instructions for getting multiple JLinkGDBServer sessions over USB running on an OSX host. An ethernet configuration will differ. These instructions should work for Linux and Windows as well but have not been tested in those environments.

The serial number is printed whenever the JLinkGDBServer program is started and it attaches to a SEGGER JLink debug interface (either a USB connected pod or on-boad SWO interface). Attach only one of the units for debugging and run the JLinkGDBServer program. The serial number of the JLink debug interface is a 9 digit number prefixed with the text S/N:.

The Serial Number may also be printed on the debug

This guide walks you through the process of downloading and converting your Audible audiobooks using audible-cli and AAXtoMP3.

You’ll need the following tools:

• audible-cli: A command-line tool for downloading Audible audiobooks.
• AAXtoMP3: A script to convert AAX files into MP3 or M4B formats.

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

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